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Book
Author McCormick, Keith (Consultant), author.

Title SPSS statistics for data analysis and visualization / Keith McCormick, Jesus Salcedo, with Jon Peck and Andrew Wheeler.

Publication Info. Indianapolis, IN : John Wiley & Sons, Inc., [2017]
1 hold on first copy returned of 1 copy

Copies

Location Call No. Status
 PAS Central Library Non-Fiction, 3rd Floor    005.55 MCC    DUE 08-03-20
Description xxxviii, 490 pages : illustrations ; 24 cm
text rdacontent
unmediated rdamedia
volume rdacarrier
volume nc rdacarrier
Note Includes index.
Contents Part I. Advanced statistics -- Comparing and contrasting IBM SPSS AMOS with other multivariate techniques -- Monte Carlo simulation and IBM SPSS bootstrapping -- Regression with categorical outcome variables -- Building hierarchical linear models -- Part II. Data visualization -- Take your data visualizations to the next level -- The code behind SPSS graphics: graphics production language -- Mapping in IBM SPSS statistics -- Geospatial analytics -- Perceptual mapping with correspondence analysis, GPL, and OMS -- Display complex relationships with multidimensional scaling -- Part III. Predictive analysis -- SPSS statistics versus SPSS modeler: can I be a data miner using SPSS statistics? -- IBM SPSS data preparation -- Model complex interactions with IBM SPSS neural networks -- Powerful and intuitive: IBM SPSS decision trees -- Find patterns and make predictions with K nearest neighbors -- Part IV. Syntax, data management, and programmability -- Write more efficient and elegant code with SPSS syntax techniques -- Automate your analyses with SPSS syntax and the output management system -- Statistical extension commands.
Summary Goes beyond the basics of SPSS Statistics to show users advanced techniques that exploit the full capabilities of SPSS, including extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. -- Publisher's description.
Subject SPSS (Computer file)
Social sciences -- Statistical methods -- Computer programs.
Added Author Salcedo, Jesus (Consultant), author.
Peck, Jon, author.
Wheeler, Andrew, author.
ISBN 9781119003557
1119003555

 
    
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